Agent skill

performance-analytics

Analyze marketing performance with key metrics, trend analysis, and optimization recommendations

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Install this agent skill to your Project

npx add-skill https://github.com/vamseeachanta/workspace-hub/tree/main/.claude/skills/business/marketing/performance-analytics

SKILL.md

Performance Analytics Skill

Frameworks for measuring, reporting, and optimizing marketing performance across channels and campaigns.

Key Marketing Metrics by Channel

Email Marketing

Metric Definition Benchmark Range
Delivery rate Emails delivered / emails sent 95-99%
Open rate Unique opens / emails delivered 15-30%
Click-through rate (CTR) Unique clicks / emails delivered 2-5%
Click-to-open rate (CTOR) Unique clicks / unique opens 10-20%
Unsubscribe rate Unsubscribes / emails delivered <0.5%
Conversion rate Conversions / emails delivered 1-5%

Paid Advertising (Search and Social)

Metric Definition
Click-through rate (CTR) Clicks / impressions
Cost per click (CPC) Total spend / clicks
Conversion rate Conversions / clicks
Cost per acquisition (CPA) Total spend / conversions
Return on ad spend (ROAS) Revenue / ad spend
Quality Score (search) Google's relevance rating (1-10)

SEO / Organic Search

Metric Definition
Organic sessions Visits from organic search
Keyword rankings Position for target keywords
Organic CTR Clicks / impressions in search results
Domain authority Third-party authority score
Backlinks Number of external sites linking to you
Organic conversion rate Organic conversions / organic sessions

Overall Marketing / Pipeline

Metric Definition
Marketing qualified leads (MQLs) Leads meeting marketing qualification criteria
MQL to SQL conversion rate SQLs / MQLs
Pipeline generated Dollar value of opportunities created
Customer acquisition cost (CAC) Total marketing + sales cost / new customers
Marketing-sourced revenue Revenue from marketing-originated deals

Reporting Templates

Weekly Marketing Report

  • Top 3 metrics with week-over-week change
  • What worked this week (1-2 bullet points with data)
  • What needs attention (1-2 bullet points with data)
  • This week's priorities (3-5 action items)

Monthly Marketing Report

  1. Executive summary (3-5 sentences)
  2. Key metrics dashboard (table with MoM and target comparison)
  3. Channel-by-channel performance summary
  4. Campaign highlights and results
  5. What worked and what did not (with hypotheses)
  6. Recommendations and next month priorities
  7. Budget spend vs. plan

Trend Analysis and Forecasting

Trend Identification

  1. Directional trends over 4+ periods
  2. Inflection points and what caused them
  3. Seasonality patterns
  4. Anomalies and their causes
  5. Leading indicators

Simple Forecasting Approaches

  • Linear projection: extend the current trend line forward
  • Moving average: smooth noise by averaging last 3-6 periods
  • Year-over-year comparison: use last year's pattern as baseline
  • Funnel math: forecast outputs from inputs
  • Scenario modeling: best case, expected case, worst case

Attribution Modeling Basics

Model How It Works Best For
Last touch 100% credit to last interaction Understanding final conversion triggers
First touch 100% credit to first interaction Understanding top-of-funnel effectiveness
Linear Equal credit to all touchpoints Fair representation of all channels
Time decay More credit closer to conversion Balanced view favoring recent interactions
Position-based (U-shaped) 40% first, 40% last, 20% middle Valuing both discovery and conversion
Data-driven Algorithmic credit Most accurate (requires high volume)

Optimization Recommendations Framework

Optimization Levers by Funnel Stage

Funnel Stage Problem Signal Optimization Levers
Awareness Low impressions, low reach Budget, targeting, channel mix, creative format
Interest Low CTR, low engagement Ad creative, headlines, content hooks, audience targeting
Consideration High bounce rate, low time on page Landing page content, page speed, content relevance, UX
Conversion Low conversion rate Offer, CTA, form length, trust signals, page layout
Retention High churn, low repeat engagement Onboarding, email nurture, product experience, support

Prioritization Framework

Priority order:

  1. High impact, low effort (do immediately)
  2. High impact, high effort (plan and resource)
  3. Low impact, low effort (do if capacity allows)
  4. Low impact, high effort (deprioritize)

Testing Best Practices

  • Test one variable at a time
  • Define success metric before launching
  • Calculate required sample size before starting
  • Run tests for minimum one full business cycle
  • Document all tests and results regardless of outcome

Continuous Optimization Cadence

  • Daily: monitor paid campaigns for budget pacing and anomalies
  • Weekly: review channel performance, pause underperformers, scale winners
  • Bi-weekly: refresh ad creative and test new variants
  • Monthly: full performance review, identify new optimization opportunities
  • Quarterly: strategic review of channel mix, budget allocation, and targeting

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